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Applied Computational Thinking with Python

You're reading from   Applied Computational Thinking with Python Design algorithmic solutions for complex and challenging real-world problems

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781839219436
Length 420 pages
Edition 1st Edition
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Concepts
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Authors (2):
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Dayrene Martinez Dayrene Martinez
Author Profile Icon Dayrene Martinez
Dayrene Martinez
Sofía De Jesús Sofía De Jesús
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Sofía De Jesús
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Introduction to Computational Thinking
2. Chapter 1: Fundamentals of Computer Science FREE CHAPTER 3. Chapter 2: Elements of Computational Thinking 4. Chapter 3: Understanding Algorithms and Algorithmic Thinking 5. Chapter 4: Understanding Logical Reasoning 6. Chapter 5: Exploring Problem Analysis 7. Chapter 6: Designing Solutions and Solution Processes 8. Chapter 7: Identifying Challenges within Solutions 9. Section 2:Applying Python and Computational Thinking
10. Chapter 8: Introduction to Python 11. Chapter 9: Understanding Input and Output to Design a Solution Algorithm 12. Chapter 10: Control Flow 13. Chapter 11: Using Computational Thinking and Python in Simple Challenges 14. Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python
15. Chapter 12: Using Python in Experimental and Data Analysis Problems 16. Chapter 13: Using Classification and Clusters 17. Chapter 14: Using Computational Thinking and Python in Statistical Analysis 18. Chapter 15: Applied Computational Thinking Problems 19. Chapter 16: Advanced Applied Computational Thinking Problems 20. Other Books You May Enjoy

Summary

We have learned some fundamentals of computer science in this chapter. We looked at how to convert from binary to base-10. We also explored topics and theories in theoretical computer science. We learned about computing and data types and structures. These sections will allow us to understand the computational thinking process and how to tackle all types of problems presented, starting in Chapter 2, Elements of Computational Thinking, of this book.

As we delve deeper into the computational thinking world and process, we will need to revisit some of the content of this chapter as we look at problems, search for the best way to solve them, and make decisions about how to write the algorithms.

Problems may have an infinite number of ways to be solved using algorithms. Understanding how processes work and which data structures are most suitable for our problems is imperative in creating the best solutions. Identifying the data types needed for the algorithms and how computers read data will only help us in writing the most effective and efficient algorithms.

In the next chapter, we will learn about the computational thinking process and how to break down problems in order to design our algorithmic solutions.

You have been reading a chapter from
Applied Computational Thinking with Python
Published in: Nov 2020
Publisher: Packt
ISBN-13: 9781839219436
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